Distributional Off-Policy Evaluation for Slate Recommendations. - Chaudhari, Shreyas; Arbour, David; Theocharous, Georgios; Vlassis, Nikos (2024)

Editing Partially Observable Networks via Graph Diffusion Models. - Trivedi, Puja; Rossi, Ryan A.; Arbour, David; Yu, Tong; Dernoncourt, Franck; Kim, Sungchul; Lipka, Nedim; Park, Namyong; Ahmed, Nesreen K.; Koutra, Danai (2024)

Continuous Treatment Effects with Surrogate Outcomes. - Zeng, Zhenghao; Arbour, David; Feller, Avi; Addanki, Raghavendra; Rossi, Ryan A.; Sinha, Ritwik; Kennedy, Edward H. (2024)

Continuous Treatment Effects with Surrogate Outcomes. - Zeng, Zhenghao; Arbour, David; Feller, Avi; Addanki, Raghavendra; Rossi, Ryan A.; Sinha, Ritwik; Kennedy, Edward H. (CoRR, 2024)

Learning Relational Causal Models with Cycles through Relational Acyclification. - Ahsan, Ragib; Arbour, David; Zheleva, Elena (2023)

Online Forecasting Based Anomaly Detection For Monitoring Large Scale Streaming Data. - Zhang, Wei; Arbour, David (2023)

Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation. - Ghadiri, Mehrdad; Arbour, David; Mai, Tung; Musco, Cameron; Rao, Anup B. (2023)

Brief Announcement: Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud. - Murhekar, Aniket; Arbour, David; Mai, Tung; Rao, Anup B. (2023)

Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform. - Maharaj, Akash; Sinha, Ritwik; Arbour, David; Waudby-Smith, Ian; Liu, Simon Z.; Sinha, Moumita; Addanki, Raghavendra; Ramdas, Aaditya; Garg, Manas; Swaminathan, Viswanathan (2023)

Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud. - Murhekar, Aniket; Arbour, David; Mai, Tung; Rao, Anup (CoRR, 2023)

Distributional Off-Policy Evaluation for Slate Recommendations. - Chaudhari, Shreyas; Arbour, David; Theocharous, Georgios; Vlassis, Nikos (CoRR, 2023)

Leveraging Graph Diffusion Models for Network Refinement Tasks. - Trivedi, Puja; Rossi, Ryan A.; Arbour, David; Yu, Tong; Dernoncourt, Franck; Kim, Sungchul; Lipka, Nedim; Park, Namyong; Ahmed, Nesreen K.; Koutra, Danai (CoRR, 2023)

Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning. - Mu, Tong; Theocharous, Georgios; Arbour, David; Brunskill, Emma (2022)

Relational Causal Models with Cycles: Representation and Reasoning. - Ahsan, Ragib; Arbour, David; Zheleva, Elena (2022)

Online Balanced Experimental Design. - Arbour, David; Dimmery, Drew; Mai, Tung; Rao, Anup B. (2022)

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. - Weld, Galen; West, Peter; Glenski, Maria; Arbour, David; Rossi, Ryan A.; Althoff, Tim (2022)

Sample Constrained Treatment Effect Estimation. - Addanki, Raghavendra; Arbour, David; Mai, Tung; Musco, Cameron; Rao, Anup (2022)

Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. - Vinay, Vishwa; Kilaru, Manoj; Arbour, David (2022)

Non-parametric inference of relational dependence. - Ahsan, Ragib; Fatemi, Zahra; Arbour, David; Zheleva, Elena (2022)

Generating and Controlling Diversity in Image Search. - Tanjim, Md. Mehrab; Sinha, Ritwik; Singh, Krishna Kumar; Mahadevan, Sridhar; Arbour, David; Sinha, Moumita; Cottrell, Garrison W. (2022)

Towards Preserving Server-Side Privacy of On-Device Models. - Atrey, Akanksha; Sinha, Ritwik; Sarkhel, Somdeb; Mitra, Saayan; Arbour, David; Maharaj, Akash; Shenoy, Prashant J. (2022)

Relational Causal Models with Cycles: Representation and Reasoning. - Ahsan, Ragib; Arbour, David; Zheleva, Elena (CoRR, 2022)

Off-Policy Evaluation in Embedded Spaces. - Lee, Jaron J. R.; Arbour, David; Theocharous, Georgios (CoRR, 2022)

Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. - Vinay, Vishwa; Kilaru, Manoj; Arbour, David (CoRR, 2022)

Non-Parametric Inference of Relational Dependence. - Ahsan, Ragib; Fatemi, Zahra; Arbour, David; Zheleva, Elena (CoRR, 2022)

Learning Relational Causal Models with Cycles through Relational Acyclification. - Ahsan, Ragib; Arbour, David; Zheleva, Elena (CoRR, 2022)

Sample Constrained Treatment Effect Estimation. - Addanki, Raghavendra; Arbour, David; Mai, Tung; Musco, Cameron; Rao, Anup (CoRR, 2022)

Heterogeneous Graphlets. - Rossi, Ryan A.; Ahmed, Nesreen K.; Carranza, Aldo G.; Arbour, David; Rao, Anup B.; Kim, Sungchul; Koh, Eunyee (ACM Trans. Knowl. Discov. Data, 2021)

Designing Transportable Experiments Under S-admissability. - Phan, My; Arbour, David; Dimmery, Drew; Rao, Anup B. (2021)

Efficient Balanced Treatment Assignments for Experimentation. - Arbour, David; Dimmery, Drew; Rao, Anup B. (2021)

Permutation Weighting. - Arbour, David; Dimmery, Drew; Sondhi, Arjun (2021)

BOhance: Bayesian Optimization for Content Enhancement. - Mittal, Trisha; Swaminathan, Vishy; Sarkhel, Somdeb; Sinha, Ritwik; Arbour, David; Mitra, Saayan; Manocha, Dinesh (2021)

Causal Inference from Network Data. - Zheleva, Elena; Arbour, David (2021)

Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning. - Mu, Tong; Theocharous, Georgios; Arbour, David; Brunskill, Emma (CoRR, 2021)

Balanced Off-Policy Evaluation in General Action Spaces. - Sondhi, Arjun; Arbour, David; Dimmery, Drew (2020)

General Identification of Dynamic Treatment Regimes Under Interference. - Sherman, Eli; Arbour, David; Shpitser, Ilya (2020)

Bayesian Estimation of the Effect of Television Advertising on Web Metrics. - Sinha, Ritwik; Saini, Shiv Kumar; Sinha, Moumita; Arbour, David (2020)

General Identification of Dynamic Treatment Regimes Under Interference. - Sherman, Eli; Arbour, David; Shpitser, Ilya (CoRR, 2020)

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. - Weld, Galen; West, Peter; Glenski, Maria; Arbour, David; Rossi, Ryan A.; Althoff, Tim (CoRR, 2020)

Heterogeneous Graphlets. - Rossi, Ryan A.; Ahmed, Nesreen K.; Carranza, Aldo G.; Arbour, David; Rao, Anup B.; Kim, Sungchul; Koh, Eunyee (CoRR, 2020)

Heterogeneous Network Motifs. - Rossi, Ryan A.; Ahmed, Nesreen K.; Carranza, Aldo G.; Arbour, David; Rao, Anup; Kim, Sungchul; Koh, Eunyee (CoRR, 2019)

Balanced Off-Policy Evaluation in General Action Spaces. - Sondhi, Arjun; Arbour, David; Dimmery, Drew (CoRR, 2019)

Inferring Network Effects from Observational Data. - Arbour, David T.; Garant, Dan; Jensen, David D. (2016)

Inferring Causal Direction from Relational Data. - Arbour, David T.; Marazopoulou, Katerina; Jensen, David D. (2016)

Propensity Score Matching for Causal Inference with Relational Data. - Arbour, David T.; Marazopoulou, Katerina; Garant, Dan; Jensen, David D. (2014)

Refining the Semantics of Social Influence. - Marazopoulou, Katerina; Arbour, David T.; Jensen, David D. (CoRR, 2014)

A Sound and Complete Algorithm for Learning Causal Models from Relational Data. - Maier, Marc E.; Marazopoulou, Katerina; Arbour, David T.; Jensen, David D. (2013)

A Sound and Complete Algorithm for Learning Causal Models from Relational Data. - Maier, Marc E.; Marazopoulou, Katerina; Arbour, David T.; Jensen, David D. (CoRR, 2013)

Evaluation of automatic classroom capture for computer science education. - Dickson, Paul E.; Arbour, David T.; Adrion, W. Richards; Gentzel, Amanda (2010)

First experiences with a classroom recording system. - Dickson, Paul E.; Adrion, W. Richards; Hanson, Allen R.; Arbour, David T. (2009)